Search Results for author: Sangwon Ha

Found 4 papers, 1 papers with code

An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks

1 code implementation NeurIPS Workshop ICBINB 2021 Guoxuan Xia, Sangwon Ha, Tiago Azevedo, Partha Maji

We show that this robustness can be partially explained by the calibration behavior of modern CNNs, and may be improved with overconfidence.

Decision Making Quantization

Quantization for Rapid Deployment of Deep Neural Networks

no code implementations ICLR 2019 Jun Haeng Lee, Sangwon Ha, Saerom Choi, Won-Jo Lee, Seungwon Lee

This paper aims at rapid deployment of the state-of-the-art deep neural networks (DNNs) to energy efficient accelerators without time-consuming fine tuning or the availability of the full datasets.

Object Detection Quantization

Training Deep Neural Network in Limited Precision

no code implementations12 Oct 2018 Hyunsun Park, Jun Haeng Lee, Youngmin Oh, Sangwon Ha, Seungwon Lee

Energy and resource efficient training of DNNs will greatly extend the applications of deep learning.

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